ER&L 2013

March 17–20, 2013

Austin, Texas

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What Would Google Do? – Data Mining, Discovery and Search Suggestions: Proactively Improving Search Relevance and the User Experience

Monday, March 18, 2013 at 9:50 AM–10:35 AM CDT

Salon C

Keywords

discovery tools, data mining

Learning Objectives

Following this session, participants will have new insights into Academic user search behaviors, as well as gain an understanding of how this knowledge can be used to not only fine-tune relevancy and interface design, but also to provide users with guiding recommendations within the user experience that proactively improve their research outcomes.

Abstract

Data-informed design is key to meeting users’ expectations. This session explores how data mining of discovery service usage logs and analysis of user behaviors at individual libraries and at Web-scale, across hundreds of libraries and millions of users, provides new insights and opportunities to proactively improve the Academic research experience.

2013 Conference Track

Search & Discovery

Presenters

Elizabeth German, Web Services Coordinator, University of Houston

Lesley Moyo, Director, Research and Instruction Services, Virginia Tech University

Tracy Gilmore, Technical Services Librarian, Virginia Tech University

Andrew Nagy, Serials Solutions

Session Materials

Conference Presentation

MS PowerPoint 5.41 MB